{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 读取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from PIL import Image, ImageDraw\n",
    "from matplotlib.colors import rgb_to_hsv, hsv_to_rgb\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pil_draw(image, rect, color=(255,0,0), width=4):\n",
    "    '''\n",
    "    ### Docs: 使用PIL画矩形框, 画完矩形框后, 结果已添加在 image 上了, 可以使用 image.show() 进行显示\n",
    "    ### Args\n",
    "        - image: obj, PIL.Image.open()打开的图像\n",
    "        - rect: list, [x,y,w,h] 矩形框\n",
    "        - color: tuple, (r,g,b) 颜色\n",
    "        - width: int, 线宽\n",
    "    ### Examples:\n",
    "        rect = [100, 100, 20, 40]\n",
    "        im = Image.open(image_path)\n",
    "        pil_draw(im, rect, (255,0,0))\n",
    "        im.show()\n",
    "    '''\n",
    "\n",
    "    img_draw = ImageDraw.Draw(image)\n",
    "    xy = [(rect[0], rect[1]), (rect[0], rect[1]+rect[3]), (rect[0]+rect[2], rect[1]+rect[3]), (rect[0]+rect[2], rect[1]), (rect[0], rect[1])]\n",
    "    # ImageDraw.Draw 中只有 PIL.ImageDraw.Draw.line(xy, fill=None, width=0) 可以控制线的宽度!!!\n",
    "    # xy: [(x, y), (x, y), ...] or [x, y, x, y, ...]\n",
    "    img_draw.line(xy, fill=color, width=width)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "def rand(a=0, b=1):\n",
    "    # 生成[a,b]中间均匀分布的数据\n",
    "    return np.random.rand()*(b-a) + a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "def merge_bboxes(bboxes, cutx, cuty):\n",
    "    merge_bbox = []\n",
    "    for i in range(len(bboxes)):\n",
    "        for box in bboxes[i]:\n",
    "            tmp_box = []\n",
    "            x1,y1,x2,y2 = box[0], box[1], box[2], box[3]\n",
    "\n",
    "            if i == 0:\n",
    "                if y1 > cuty or x1 > cutx:\n",
    "                    continue\n",
    "                if y2 >= cuty and y1 <= cuty:\n",
    "                    y2 = cuty\n",
    "                    if y2-y1 < 5:\n",
    "                        continue\n",
    "                if x2 >= cutx and x1 <= cutx:\n",
    "                    x2 = cutx\n",
    "                    if x2-x1 < 5:\n",
    "                        continue\n",
    "                \n",
    "            if i == 1:\n",
    "                if y2 < cuty or x1 > cutx:\n",
    "                    continue\n",
    "\n",
    "                if y2 >= cuty and y1 <= cuty:\n",
    "                    y1 = cuty\n",
    "                    if y2-y1 < 5:\n",
    "                        continue\n",
    "                \n",
    "                if x2 >= cutx and x1 <= cutx:\n",
    "                    x2 = cutx\n",
    "                    if x2-x1 < 5:\n",
    "                        continue\n",
    "\n",
    "            if i == 2:\n",
    "                if y2 < cuty or x2 < cutx:\n",
    "                    continue\n",
    "\n",
    "                if y2 >= cuty and y1 <= cuty:\n",
    "                    y1 = cuty\n",
    "                    if y2-y1 < 5:\n",
    "                        continue\n",
    "\n",
    "                if x2 >= cutx and x1 <= cutx:\n",
    "                    x1 = cutx\n",
    "                    if x2-x1 < 5:\n",
    "                        continue\n",
    "\n",
    "            if i == 3:\n",
    "                if y1 > cuty or x2 < cutx:\n",
    "                    continue\n",
    "\n",
    "                if y2 >= cuty and y1 <= cuty:\n",
    "                    y2 = cuty\n",
    "                    if y2-y1 < 5:\n",
    "                        continue\n",
    "\n",
    "                if x2 >= cutx and x1 <= cutx:\n",
    "                    x1 = cutx\n",
    "                    if x2-x1 < 5:\n",
    "                        continue\n",
    "\n",
    "            tmp_box.append(x1)\n",
    "            tmp_box.append(y1)\n",
    "            tmp_box.append(x2)\n",
    "            tmp_box.append(y2)\n",
    "            tmp_box.append(box[-1])\n",
    "            merge_bbox.append(tmp_box)\n",
    "    return merge_bbox"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../../get_samples/papilla/for_yolov4_keras/images/02c4a90ea8754cebaedca6a5ecf0d775_013954.jpg 14,71,186,211,0\n",
      "../../get_samples/papilla/for_yolov4_keras/images/02c4a90ea8754cebaedca6a5ecf0d775_013955.jpg 61,119,236,232,0\n",
      "../../get_samples/papilla/for_yolov4_keras/images/02c4a90ea8754cebaedca6a5ecf0d775_013956.jpg 93,184,259,279,0\n",
      "../../get_samples/papilla/for_yolov4_keras/images/02c4a90ea8754cebaedca6a5ecf0d775_013957.jpg 114,124,238,218,0\n",
      "../../get_samples/papilla/for_yolov4_keras/images/02c4a90ea8754cebaedca6a5ecf0d775_013958.jpg 144,107,238,196,0\n"
     ]
    }
   ],
   "source": [
    "annotation_train = '../../get_samples/papilla/for_yolov4_keras/papilla_label_20200616.txt'\n",
    "with open(annotation_train) as f:\n",
    "    annotation_line = f.readlines()\n",
    "for line in annotation_line[:5]:\n",
    "    print(line[:-1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 使用mosaic生成数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "分割位置 cutx = 608 * 0.4 = 345, cuty =  608 * 0.4 = 267\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f2764218710>"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "input_shape = (608, 608)\n",
    "hue0 = 0.02\n",
    "sat0 = 1.5\n",
    "val0 = 1.2\n",
    "\n",
    "h, w = input_shape\n",
    "\n",
    "max_boxes = 10\n",
    "\n",
    "min_offset_x = 0.4\n",
    "min_offset_y = 0.4\n",
    "scale_low = 1 - min(min_offset_x, min_offset_y)\n",
    "scale_high = scale_low + 0.2\n",
    "# print('缩放范围: {}, {}'.format(scale_low, scale_high))\n",
    "\n",
    "place_x = [0, 0, int(w*min_offset_x), int(w*min_offset_x)]\n",
    "place_y = [0, int(h*min_offset_y), int(w*min_offset_y), 0]\n",
    "\n",
    "index = 0\n",
    "image_datas = [] \n",
    "box_datas = []\n",
    "\n",
    "img_idx = 1\n",
    "for line in annotation_line[img_idx:img_idx+4]:\n",
    "    # 测试前面4个数据\n",
    "    line_content = line.split()\n",
    "    # 打开图片\n",
    "    image = Image.open(line_content[0])\n",
    "    image = image.convert(\"RGB\")\n",
    "    # plt.imshow(image)\n",
    "    # 图片的大小\n",
    "    iw, ih = image.size\n",
    "    # 保存框的位置\n",
    "    box = np.array([np.array(list(map(int,box.split(',')))) for box in line_content[1:]])\n",
    "    #print('image size(h*w): {}*{}, boxes: {}'.format(ih, iw, box))\n",
    "\n",
    "    # 是否翻转图片\n",
    "    # flip = rand()<.5\n",
    "    flip = True\n",
    "    if flip and len(box)>0:\n",
    "#         plt.subplot(231)\n",
    "#         im_show = image.crop((0,0,iw,ih))\n",
    "#         rect = [box[0, 0], box[0, 1], box[0, 2]-box[0, 0], box[0, 3]-box[0, 1]]\n",
    "#         pil_draw(im_show, rect, (0,255,0))\n",
    "#         plt.imshow(im_show)\n",
    "        \n",
    "        image = image.transpose(Image.FLIP_LEFT_RIGHT)\n",
    "        box[:, [0,2]] = iw - box[:, [2,0]]\n",
    "#         plt.subplot(232)\n",
    "#         im_show = image.crop((0,0,iw,ih))\n",
    "#         rect = [box[0, 0], box[0, 1], box[0, 2]-box[0, 0], box[0, 3]-box[0, 1]]\n",
    "#         pil_draw(im_show, rect, (0,255,0))\n",
    "#         plt.imshow(im_show)\n",
    "        \n",
    "        image = image.transpose(Image.FLIP_TOP_BOTTOM)\n",
    "        box[:, [1,3]] = ih - box[:, [3,1]]\n",
    "#         plt.subplot(233)\n",
    "#         im_show = image.crop((0,0,iw,ih))\n",
    "#         rect = [box[0, 0], box[0, 1], box[0, 2]-box[0, 0], box[0, 3]-box[0, 1]]\n",
    "#         pil_draw(im_show, rect, (0,255,0))\n",
    "#         plt.imshow(im_show)\n",
    "        # plt.savefig('image.png')\n",
    "        # print('图像大小(h*w): {}*{}, rect: {}'.format(ih, iw, rect))\n",
    "\n",
    "        # 对输入进来的图片进行缩放\n",
    "        new_ar = w/h\n",
    "        scale = rand(scale_low, scale_high)\n",
    "        if new_ar < 1:\n",
    "            nh = int(scale*h)\n",
    "            nw = int(nh*new_ar)\n",
    "        else:\n",
    "            nw = int(scale*w)\n",
    "            nh = int(nw/new_ar)\n",
    "#         print('缩放比例为: {}'.format(scale))\n",
    "#         print('缩放后图像大小(w*h): {}*{}'.format(nw, nh))\n",
    "        image = image.resize((nw, nh), Image.BICUBIC)\n",
    "#         plt.subplot(234)\n",
    "#         plt.imshow(image)\n",
    "\n",
    "        # 进行色域变换\n",
    "#         print('初始 hue, sat, val: {}, {}, {}'.format(hue0, sat0, val0))\n",
    "        hue = rand(-hue0, hue0)\n",
    "        sat = rand(1, sat0) if rand()<.5 else 1/rand(1, sat0)\n",
    "        val = rand(1, val0) if rand()<.5 else 1/rand(1, val0)\n",
    "#         print('调整后 hue, sat, val: {}, {}, {}'.format(hue, sat, val))\n",
    "        x = rgb_to_hsv(np.array(image)/255.)\n",
    "        x[..., 0] += hue\n",
    "        x[..., 0][x[..., 0]>1] -= 1\n",
    "        x[..., 0][x[..., 0]<0] += 1\n",
    "        x[..., 1] *= sat\n",
    "        x[..., 2] *= val\n",
    "        x[x>1] = 1\n",
    "        x[x<0] = 0\n",
    "        image = hsv_to_rgb(x)\n",
    "#         plt.subplot(235)\n",
    "#         plt.imshow(image)\n",
    "\n",
    "        image = Image.fromarray((image*255).astype(np.uint8))\n",
    "        # 将图片进行放置，分别对应四张分割图片的位置\n",
    "        dx = place_x[index]\n",
    "        dy = place_y[index]\n",
    "#         print('偏移: {}, {}'.format(dx, dy))\n",
    "        new_image = Image.new('RGB', (w,h), (128,128,128))\n",
    "        new_image.paste(image, (dx, dy))\n",
    "        image_data = np.array(new_image)/255\n",
    "\n",
    "        index = index + 1\n",
    "        box_data = []\n",
    "        # 对box进行重新处理\n",
    "        if len(box)>0:\n",
    "            np.random.shuffle(box)\n",
    "            box[:, [0,2]] = box[:, [0,2]]*nw/iw + dx\n",
    "            box[:, [1,3]] = box[:, [1,3]]*nh/ih + dy\n",
    "            box[:, 0:2][box[:, 0:2]<0] = 0\n",
    "            box[:, 1:3][box[:, 1:3]<0] = 0\n",
    "            box[:, 2][box[:, 2]>w] = w\n",
    "            box[:, 3][box[:, 3]>h] = h\n",
    "            box_w = box[:, 2] - box[:, 0]\n",
    "            box_h = box[:, 3] - box[:, 1]\n",
    "            box = box[np.logical_and(box_w>1, box_h>1)]\n",
    "            box_data = np.zeros((len(box),5))\n",
    "            box_data[:len(box)] = box\n",
    "            \n",
    "#             plt.subplot(236)\n",
    "#             im_show = new_image.crop((0,0,w,h))\n",
    "#             rect = [box[0, 0], box[0, 1], box[0, 2]-box[0, 0], box[0, 3]-box[0, 1]]\n",
    "#             pil_draw(im_show, rect, (0,255,0))\n",
    "#             plt.imshow(im_show)\n",
    "\n",
    "        image_datas.append(image_data)\n",
    "        box_datas.append(box_data)\n",
    "\n",
    "\n",
    "# # 显示图像\n",
    "# plt.subplot(141)\n",
    "# idx = 0\n",
    "# im_show = Image.fromarray((image_datas[idx]*255).astype(np.uint8))\n",
    "# rect = [box_datas[idx][0,0], box_datas[idx][0,1], box_datas[idx][0,2]-box_datas[idx][0,0], box_datas[idx][0,3]-box_datas[idx][0,1]]\n",
    "# pil_draw(im_show, rect, (0,255,0))\n",
    "# plt.imshow(im_show)\n",
    "# plt.subplot(142)\n",
    "# idx = 1\n",
    "# im_show = Image.fromarray((image_datas[idx]*255).astype(np.uint8))\n",
    "# rect = [box_datas[idx][0,0], box_datas[idx][0,1], box_datas[idx][0,2]-box_datas[idx][0,0], box_datas[idx][0,3]-box_datas[idx][0,1]]\n",
    "# pil_draw(im_show, rect, (0,255,0))\n",
    "# plt.imshow(im_show)\n",
    "# plt.subplot(143)\n",
    "# idx = 2\n",
    "# im_show = Image.fromarray((image_datas[idx]*255).astype(np.uint8))\n",
    "# rect = [box_datas[idx][0,0], box_datas[idx][0,1], box_datas[idx][0,2]-box_datas[idx][0,0], box_datas[idx][0,3]-box_datas[idx][0,1]]\n",
    "# pil_draw(im_show, rect, (0,255,0))\n",
    "# plt.imshow(im_show)\n",
    "# plt.subplot(144)\n",
    "# idx = 3\n",
    "# im_show = Image.fromarray((image_datas[idx]*255).astype(np.uint8))\n",
    "# rect = [box_datas[idx][0,0], box_datas[idx][0,1], box_datas[idx][0,2]-box_datas[idx][0,0], box_datas[idx][0,3]-box_datas[idx][0,1]]\n",
    "# pil_draw(im_show, rect, (0,255,0))\n",
    "# plt.imshow(im_show)\n",
    "\n",
    "    \n",
    "# 将图片分割，放在一起\n",
    "cutx = np.random.randint(int(w * min_offset_x), int(w * (1 - min_offset_x)))\n",
    "cuty = np.random.randint(int(h * min_offset_y), int(h * (1 - min_offset_y)))\n",
    "print('分割位置 cutx = {} * {} = {}, cuty =  {} * {} = {}'.format(w, min_offset_x, cutx, h, min_offset_y, cuty))\n",
    "\n",
    "new_image = np.zeros([h,w,3])\n",
    "new_image[:cuty, :cutx, :] = image_datas[0][:cuty, :cutx, :]\n",
    "new_image[cuty:, :cutx, :] = image_datas[1][cuty:, :cutx, :]\n",
    "new_image[cuty:, cutx:, :] = image_datas[2][cuty:, cutx:, :]\n",
    "new_image[:cuty, cutx:, :] = image_datas[3][:cuty, cutx:, :]\n",
    "\n",
    "# 对框进行进一步的处理\n",
    "new_boxes = merge_bboxes(box_datas, cutx, cuty)\n",
    "\n",
    "# 将box进行调整\n",
    "box_data = np.zeros((max_boxes, 5))\n",
    "if len(new_boxes)>0:\n",
    "    if len(new_boxes)>max_boxes: new_boxes = new_boxes[:max_boxes]\n",
    "    box_data[:len(new_boxes)] = new_boxes\n",
    "\n",
    "# 显示合并后图像\n",
    "im_show = Image.fromarray((new_image*255).astype(np.uint8))\n",
    "for box in box_data:\n",
    "    rect = [box[0], box[1], box[2]-box[0], box[3]-box[1]]\n",
    "    pil_draw(im_show, rect, (0,255,0))\n",
    "plt.imshow(im_show)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 随机生成数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0984920625938537 1.4208962915569685 608 608 863 785 480 480\n",
      "-207 -66\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "input_shape = (608, 608)\n",
    "hue0 = 0.02\n",
    "sat0 = 1.5\n",
    "val0 = 1.2\n",
    "jitter = 0.3\n",
    "\n",
    "h, w = input_shape\n",
    "\n",
    "max_boxes = 10\n",
    "\n",
    "img_idx = 10\n",
    "for line in annotation_line[img_idx:img_idx+1]:\n",
    "    # 测试前面4个数据\n",
    "    line_content = line.split()\n",
    "    \n",
    "    image = Image.open(line_content[0])\n",
    "    iw, ih = image.size\n",
    "    # print(iw, ih)\n",
    "    \n",
    "    box = np.array([np.array(list(map(int,box.split(',')))) for box in line_content[1:]])\n",
    "\n",
    "    # 对图像进行缩放并且进行长和宽的扭曲\n",
    "    new_ar = w / h * rand(1-jitter, 1+jitter)/rand(1-jitter, 1+jitter)\n",
    "    scale = rand(.25, 2)\n",
    "    if new_ar < 1:\n",
    "        nh = int(scale * h)\n",
    "        nw = int(nh * new_ar)\n",
    "    else:\n",
    "        nw = int(scale * w)\n",
    "        nh = int(nw / new_ar)\n",
    "    image = image.resize((nw, nh), Image.BICUBIC)\n",
    "    print(new_ar, scale, w, h, nw, nh, iw, ih)\n",
    "\n",
    "    # 将图像多余的部分加上灰条\n",
    "    dx = int(rand(0, w-nw))\n",
    "    dy = int(rand(0, h-nh))\n",
    "    new_image = Image.new('RGB', (w,h), (128,128,128))\n",
    "    new_image.paste(image, (dx, dy))\n",
    "    image = new_image\n",
    "    print(dx, dy)\n",
    "\n",
    "    # 翻转图像\n",
    "    flip_LR = rand()<.5\n",
    "    if flip_LR: image = image.transpose(Image.FLIP_LEFT_RIGHT)\n",
    "    flip_TB = rand()<.5 # 增加上下翻转\n",
    "    if flip_TB: image = image.transpose(Image.FLIP_TOP_BOTTOM)\n",
    "\n",
    "    # 色域扭曲\n",
    "    hue = rand(-hue, hue)\n",
    "    sat = rand(1, sat) if rand()<.5 else 1/rand(1, sat)\n",
    "    val = rand(1, val) if rand()<.5 else 1/rand(1, val)\n",
    "    x = rgb_to_hsv(np.array(image)/255.)\n",
    "    x[..., 0] += hue\n",
    "    x[..., 0][x[..., 0]>1] -= 1\n",
    "    x[..., 0][x[..., 0]<0] += 1\n",
    "    x[..., 1] *= sat\n",
    "    x[..., 2] *= val\n",
    "    x[x>1] = 1\n",
    "    x[x<0] = 0\n",
    "    image_data = hsv_to_rgb(x) # numpy array, 0 to 1\n",
    "\n",
    "    im_show = Image.fromarray((image_data*255).astype(np.uint8))\n",
    "    # plt.imshow(im_show)\n",
    "\n",
    "    # 将box进行调整\n",
    "    box_data = np.zeros((max_boxes, 5))\n",
    "    if len(box)>0:\n",
    "        np.random.shuffle(box)\n",
    "        box[:, [0,2]] = box[:, [0,2]]*nw/iw + dx\n",
    "        box[:, [1,3]] = box[:, [1,3]]*nh/ih + dy\n",
    "        if flip_LR: box[:, [0,2]] = w - box[:, [2,0]] # box翻转\n",
    "        if flip_TB: box[:, [1,3]] = h - box[:, [3,1]]\n",
    "        box[:, 0:2][box[:, 0:2]<0] = 0\n",
    "        box[:, 1:3][box[:, 1:3]<0] = 0\n",
    "        box[:, 2][box[:, 2]>w] = w\n",
    "        box[:, 3][box[:, 3]>h] = h\n",
    "        box_w = box[:, 2] - box[:, 0]\n",
    "        box_h = box[:, 3] - box[:, 1]\n",
    "        box = box[np.logical_and(box_w>1, box_h>1)] # discard invalid box\n",
    "        if len(box)>max_boxes: box = box[:max_boxes]\n",
    "        box_data[:len(box)] = box\n",
    "\n",
    "    for box in box_data:\n",
    "        rect = [box[0], box[1], box[2]-box[0], box[3]-box[1]]\n",
    "        pil_draw(im_show, rect, (0,255,0))\n",
    "    plt.imshow(im_show)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
